1 code implementation • 15 Aug 2022 • Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
A common approach to aggregate classification estimates in an ensemble of decision trees is to either use voting or to average the probabilities for each class.
1 code implementation • 13 Dec 2021 • Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
However, the method requires a fixed, static order of the labels.
1 code implementation • 18 Oct 2021 • Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Early outbreak detection is a key aspect in the containment of infectious diseases, as it enables the identification and isolation of infected individuals before the disease can spread to a larger population.
1 code implementation • 28 Jan 2021 • Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Infectious disease surveillance is of great importance for the prevention of major outbreaks.
1 code implementation • 2 Sep 2019 • Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
The typical approach for learned DBMS components is to capture the behavior by running a representative set of queries and use the observations to train a machine learning model.
Databases
no code implementations • 17 Jul 2019 • Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
Our results on synthetic data show that it is challenging to improve the performance with a trainable fusion method based on machine learning.
no code implementations • 15 Nov 2018 • Moritz Kulessa, Alejandro Molina, Carsten Binnig, Benjamin Hilprecht, Kristian Kersting
However, classical AQP approaches suffer from various problems that limit the applicability to support the ad-hoc exploration of a new data set: (1) Classical AQP approaches that perform online sampling can support ad-hoc exploration queries but yield low quality if executed over rare subpopulations.